Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/kensaurus/cursor-kenji/grill-megit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/kensaurus/cursor-kenji/grill-me)<a href="https://agentmods.dev/commands/kensaurus/cursor-kenji/grill-me"><img src="https://agentmods.dev/badge/commands/kensaurus/cursor-kenji/grill-me.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00020 | $0.00180 |
| Opus 5 | $0.00010 | $0.00090 |
| Sonnet 5 | $0.00004 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
grill-me scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/grill-me
Run a grilling session per the workflow-grilling skill: interview the user one
question at a time — recommending an answer with each question — until shared
understanding is reached. Look up facts yourself; put every decision to the
user. Do not write any code or edit any files until the user confirms.
If the session surfaces vocabulary worth keeping, apply the docs-domain-modeling
skill to capture it in CONTEXT.md (and ADRs where warranted) as you go.
Related: /plan to turn the confirmed decisions into an implementation plan,
design-prd to turn them into a spec.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 18 lines · 20 tokens per session scan A f33412050693
grill-me is a command published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 7d ago), licensed MIT. It adds 20 tokens to every session and 180 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
next-task
Intelligently determine and prepare the next action based on comprehensive context.
setup-models
Run interactive setup to configure AI models.
to-review
Command "to-review" from eyaltoledano/claude-task-master, covering marking task for review, when to use review status, execution and review preparation.
quick-install-taskmaster
Quick install Task Master globally if not already installed.
cursor-jr-sync
Запусти синхронизацию официальной документации Cursor.
cursor-jr
Обязательно вызови субагента через Task(cursor-jr).